Auto EDA Report

Dataset statistics

Number of variables	38
Number of observations	17333
Missing cells	3126
Missing cells (%)	0.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	4.9 MiB
Average record size in memory	297.0 B

Variable types

Numeric	9
Categorical	9
Text	15
Boolean	3
DateTime	2

Alerts

`CHANGE_PASSWORD_x` has constant value ""	Constant
`ROLE_y` has constant value ""	Constant
`CHANGE_PASSWORD_y` has constant value ""	Constant
`CHANGE_PASSWORD` has constant value ""	Constant
`ROLE_x` is highly imbalanced (99.9%)	Imbalance
`ROLE` is highly imbalanced (99.9%)	Imbalance

Reproduction

Analysis started	2024-04-15 16:48:03.760452
Analysis finished	2024-04-15 16:48:18.037424
Duration	14.28 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

USER_SKILL_ID
Real number (ℝ)

Distinct	1042
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	468.76888

Minimum	1
Maximum	1100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1
5-th percentile	34
Q1	233
median	466
Q3	687
95-th percentile	970
Maximum	1100
Range	1099
Interquartile range (IQR)	454

Descriptive statistics

Standard deviation	283.21623
Coefficient of variation (CV)	0.60417029
Kurtosis	-0.91465932
Mean	468.76888
Median Absolute Deviation (MAD)	230
Skewness	0.1794105
Sum	8125171
Variance	80211.434
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
662	156	0.9%
893	156	0.9%
18	156	0.9%
16	156	0.9%
472	156	0.9%
477	156	0.9%
274	156	0.9%
158	156	0.9%
351	156	0.9%
727	81	0.5%
Other values (1032)	15848	91.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	< 0.1%
2	55	0.3%
3	35	0.2%
4	12	0.1%
5	55	0.3%
6	24	0.1%
7	16	0.1%
9	6	< 0.1%
10	16	0.1%
11	3	< 0.1%

Value	Count	Frequency (%)
1100	4	< 0.1%
1099	1	< 0.1%
1098	1	< 0.1%
1097	4	< 0.1%
1096	1	< 0.1%
1095	1	< 0.1%
1094	20	0.1%
1093	1	< 0.1%
1092	1	< 0.1%
1091	1	< 0.1%

SKILL_ID
Real number (ℝ)

Distinct	50
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.589107

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	15
median	27
Q3	39
95-th percentile	48
Maximum	50
Range	49
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	14.394121
Coefficient of variation (CV)	0.54135405
Kurtosis	-1.1097587
Mean	26.589107
Median Absolute Deviation (MAD)	12
Skewness	-0.11502807
Sum	460869
Variance	207.19072
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	536	3.1%
27	505	2.9%
2	502	2.9%
16	498	2.9%
36	486	2.8%
21	479	2.8%
32	462	2.7%
48	455	2.6%
47	453	2.6%
35	445	2.6%
Other values (40)	12512	72.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	344	2.0%
2	502	2.9%
3	336	1.9%
4	329	1.9%
5	274	1.6%
6	276	1.6%
7	237	1.4%
8	216	1.2%
9	335	1.9%
10	295	1.7%

Value	Count	Frequency (%)
50	396	2.3%
49	371	2.1%
48	455	2.6%
47	453	2.6%
46	413	2.4%
45	305	1.8%
44	307	1.8%
43	395	2.3%
42	361	2.1%
41	354	2.0%

USER_ID
Real number (ℝ)

Distinct	386
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	236.49132

Minimum	11
Maximum	510
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	11
5-th percentile	35
Q1	101
median	203
Q3	384
95-th percentile	484
Maximum	510
Range	499
Interquartile range (IQR)	283

Descriptive statistics

Standard deviation	146.37475
Coefficient of variation (CV)	0.61894343
Kurtosis	-1.2915134
Mean	236.49132
Median Absolute Deviation (MAD)	123
Skewness	0.25283238
Sum	4099104
Variance	21425.567
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	1404	8.1%
398	693	4.0%
53	486	2.8%
389	448	2.6%
158	385	2.2%
35	378	2.2%
148	360	2.1%
423	352	2.0%
179	294	1.7%
408	252	1.5%
Other values (376)	12281	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
11	1	< 0.1%
12	45	0.3%
13	48	0.3%
14	1	< 0.1%
15	1	< 0.1%
16	168	1.0%
17	1	< 0.1%
18	20	0.1%
19	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
510	1	< 0.1%
509	60	0.3%
508	45	0.3%
507	1	< 0.1%
506	30	0.2%
505	8	< 0.1%
504	8	< 0.1%
503	1	< 0.1%
502	16	0.1%
501	1	< 0.1%

SKILL_LEVEL
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Intermediate	6317
Advance	5845
Beginner	5171

Length

Max length	12
Median length	8
Mean length	9.1205792
Min length	7

Characters and Unicode

Total characters	158087
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Advance
2nd row	Advance
3rd row	Advance
4th row	Advance
5th row	Advance

Common Values

Value	Count	Frequency (%)
Intermediate	6317	36.4%
Advance	5845	33.7%
Beginner	5171	29.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
intermediate	6317	36.4%
advance	5845	33.7%
beginner	5171	29.8%

Most occurring characters

Value	Count	Frequency (%)
e	35138	22.2%
n	22504	14.2%
t	12634	8.0%
d	12162	7.7%
a	12162	7.7%
r	11488	7.3%
i	11488	7.3%
I	6317	4.0%
m	6317	4.0%
A	5845	3.7%
Other values (4)	22032	13.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	158087	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	35138	22.2%
n	22504	14.2%
t	12634	8.0%
d	12162	7.7%
a	12162	7.7%
r	11488	7.3%
i	11488	7.3%
I	6317	4.0%
m	6317	4.0%
A	5845	3.7%
Other values (4)	22032	13.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	158087	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	35138	22.2%
n	22504	14.2%
t	12634	8.0%
d	12162	7.7%
a	12162	7.7%
r	11488	7.3%
i	11488	7.3%
I	6317	4.0%
m	6317	4.0%
A	5845	3.7%
Other values (4)	22032	13.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	158087	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	35138	22.2%
n	22504	14.2%
t	12634	8.0%
d	12162	7.7%
a	12162	7.7%
r	11488	7.3%
i	11488	7.3%
I	6317	4.0%
m	6317	4.0%
A	5845	3.7%
Other values (4)	22032	13.9%

STATUS_x
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Rejected	6197
Approved	5892
Pending	5244

Length

Max length	8
Median length	8
Mean length	7.6974557
Min length	7

Characters and Unicode

Total characters	133420
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Approved
2nd row	Approved
3rd row	Approved
4th row	Approved
5th row	Approved

Common Values

Value	Count	Frequency (%)
Rejected	6197	35.8%
Approved	5892	34.0%
Pending	5244	30.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
rejected	6197	35.8%
approved	5892	34.0%
pending	5244	30.3%

Most occurring characters

Value	Count	Frequency (%)
e	29727	22.3%
d	17333	13.0%
p	11784	8.8%
n	10488	7.9%
R	6197	4.6%
j	6197	4.6%
c	6197	4.6%
t	6197	4.6%
A	5892	4.4%
r	5892	4.4%
Other values (5)	27516	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	133420	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	29727	22.3%
d	17333	13.0%
p	11784	8.8%
n	10488	7.9%
R	6197	4.6%
j	6197	4.6%
c	6197	4.6%
t	6197	4.6%
A	5892	4.4%
r	5892	4.4%
Other values (5)	27516	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	133420	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	29727	22.3%
d	17333	13.0%
p	11784	8.8%
n	10488	7.9%
R	6197	4.6%
j	6197	4.6%
c	6197	4.6%
t	6197	4.6%
A	5892	4.4%
r	5892	4.4%
Other values (5)	27516	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	133420	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	29727	22.3%
d	17333	13.0%
p	11784	8.8%
n	10488	7.9%
R	6197	4.6%
j	6197	4.6%
c	6197	4.6%
t	6197	4.6%
A	5892	4.4%
r	5892	4.4%
Other values (5)	27516	20.6%

SKILL_NAME
Categorical

Distinct	49
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

GraphQL	732
Git	536
Docker	505
Java	502
Rust	498
Other values (44)	14560

Length

Max length	52
Median length	19
Mean length	11.015635
Min length	2

Characters and Unicode

Total characters	190934
Distinct characters	54
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kanban
2nd row	Kanban
3rd row	Kanban
4th row	Kanban
5th row	Kanban

Common Values

Value	Count	Frequency (%)
GraphQL	732	4.2%
Git	536	3.1%
Docker	505	2.9%
Java	502	2.9%
Rust	498	2.9%
Behavior-Driven Development (BDD)	486	2.8%
Flask	479	2.8%
Scrum	462	2.7%
Robotics	455	2.6%
Computer Vision	453	2.6%
Other values (39)	12225	70.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
development	931	3.6%
graphql	732	2.9%
data	612	2.4%
c	578	2.3%
git	536	2.1%
docker	505	2.0%
java	502	2.0%
rust	498	1.9%
behavior-driven	486	1.9%
bdd	486	1.9%
Other values (60)	19799	77.1%

Most occurring characters

Value	Count	Frequency (%)
e	18027	9.4%
n	12084	6.3%
i	11171	5.9%
t	11057	5.8%
a	10663	5.6%
r	9761	5.1%
o	9447	4.9%
s	8879	4.7%
	8332	4.4%
c	6208	3.3%
Other values (44)	85305	44.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	190934	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	18027	9.4%
n	12084	6.3%
i	11171	5.9%
t	11057	5.8%
a	10663	5.6%
r	9761	5.1%
o	9447	4.9%
s	8879	4.7%
	8332	4.4%
c	6208	3.3%
Other values (44)	85305	44.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	190934	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	18027	9.4%
n	12084	6.3%
i	11171	5.9%
t	11057	5.8%
a	10663	5.6%
r	9761	5.1%
o	9447	4.9%
s	8879	4.7%
	8332	4.4%
c	6208	3.3%
Other values (44)	85305	44.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	190934	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	18027	9.4%
n	12084	6.3%
i	11171	5.9%
t	11057	5.8%
a	10663	5.6%
r	9761	5.1%
o	9447	4.9%
s	8879	4.7%
	8332	4.4%
c	6208	3.3%
Other values (44)	85305	44.7%

EMAIL_x
Text

Distinct	386
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Length

Max length	33
Median length	30
Mean length	22.057059
Min length	13

Characters and Unicode

Total characters	382315
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	0.9%

Sample

1st row	mmccauley4e@nytimes.com
2nd row	mmccauley4e@nytimes.com
3rd row	mmccauley4e@nytimes.com
4th row	mmccauley4e@nytimes.com
5th row	mmccauley4e@nytimes.com

Value	Count	Frequency (%)
bbarbera1x@usatoday.com	1404	8.1%
lloadar@miibeian.gov.cn	693	4.0%
srigden16@indiegogo.com	486	2.8%
gwaslinai@tumblr.com	448	2.6%
khaggus43@imageshack.us	385	2.2%
nmccurlyeo@uol.com.br	378	2.2%
cshelton3t@odnoklassniki.ru	360	2.1%
vdahlgrenbg@friendfeed.com	352	2.0%
syarrington4o@zdnet.com	294	1.7%
agerriessenb1@examiner.com	252	1.5%
Other values (376)	12281	70.9%

Most occurring characters

Value	Count	Frequency (%)
o	31683	8.3%
e	27942	7.3%
a	27213	7.1%
c	23525	6.2%
r	21636	5.7%
m	19952	5.2%
n	19437	5.1%
.	19381	5.1%
i	18884	4.9%
l	17422	4.6%
Other values (29)	155240	40.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	382315	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	31683	8.3%
e	27942	7.3%
a	27213	7.1%
c	23525	6.2%
r	21636	5.7%
m	19952	5.2%
n	19437	5.1%
.	19381	5.1%
i	18884	4.9%
l	17422	4.6%
Other values (29)	155240	40.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	382315	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	31683	8.3%
e	27942	7.3%
a	27213	7.1%
c	23525	6.2%
r	21636	5.7%
m	19952	5.2%
n	19437	5.1%
.	19381	5.1%
i	18884	4.9%
l	17422	4.6%
Other values (29)	155240	40.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	382315	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	31683	8.3%
e	27942	7.3%
a	27213	7.1%
c	23525	6.2%
r	21636	5.7%
m	19952	5.2%
n	19437	5.1%
.	19381	5.1%
i	18884	4.9%
l	17422	4.6%
Other values (29)	155240	40.6%

ROLE_x
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

user	17332
admin	1

Length

Max length	5
Median length	4
Mean length	4.0000577
Min length	4

Characters and Unicode

Total characters	69333
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	user
2nd row	user
3rd row	user
4th row	user
5th row	user

Common Values

Value	Count	Frequency (%)
user	17332	> 99.9%
admin	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
user	17332	> 99.9%
admin	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
u	17332	25.0%
s	17332	25.0%
e	17332	25.0%
r	17332	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69333	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	17332	25.0%
s	17332	25.0%
e	17332	25.0%
r	17332	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69333	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	17332	25.0%
s	17332	25.0%
e	17332	25.0%
r	17332	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69333	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	17332	25.0%
s	17332	25.0%
e	17332	25.0%
r	17332	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

PHONE_NUMBER_x
Real number (ℝ)

Distinct	386
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.0488976 × 10⁹

Minimum	1.0049387 × 10⁹
Maximum	9.9960208 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1.0049387 × 10⁹
5-th percentile	1.3024693 × 10⁹
Q1	3.6052395 × 10⁹
median	6.2831165 × 10⁹
Q3	8.6441764 × 10⁹
95-th percentile	9.52621 × 10⁹
Maximum	9.9960208 × 10⁹
Range	8.9910821 × 10⁹
Interquartile range (IQR)	5.038937 × 10⁹

Descriptive statistics

Standard deviation	2.6811929 × 10⁹
Coefficient of variation (CV)	0.44325315
Kurtosis	-1.1202387
Mean	6.0488976 × 10⁹
Median Absolute Deviation (MAD)	2.3936422 × 10⁹
Skewness	-0.2903308
Sum	1.0484554 × 10¹⁴
Variance	7.1887955 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9224743888	1404	8.1%
3605239489	693	4.0%
5811418659	486	2.8%
5913549527	448	2.6%
9526209988	385	2.2%
7129119794	378	2.2%
4328864394	360	2.1%
7743556574	352	2.0%
3587136794	294	1.7%
6321637239	252	1.5%
Other values (376)	12281	70.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1004938722	96	0.6%
1008868059	1	< 0.1%
1066117899	189	1.1%
1092149162	1	< 0.1%
1133247041	72	0.4%
1172341225	1	< 0.1%
1178022515	168	1.0%
1195035976	1	< 0.1%
1201122077	1	< 0.1%
1203986793	60	0.3%

Value	Count	Frequency (%)
9996020840	1	< 0.1%
9966994472	36	0.2%
9961356509	48	0.3%
9906928741	64	0.4%
9901322391	36	0.2%
9877161571	36	0.2%
9872962156	160	0.9%
9872017012	180	1.0%
9854767904	1	< 0.1%
9822908387	1	< 0.1%

PASSWORD_x
Text

Distinct	386
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Length

Max length	16
Median length	13
Mean length	11.744418
Min length	7

Characters and Unicode

Total characters	203566
Distinct characters	88
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	0.9%

Sample

1st row	yJ2%A#X",ky0Cp
2nd row	yJ2%A#X",ky0Cp
3rd row	yJ2%A#X",ky0Cp
4th row	yJ2%A#X",ky0Cp
5th row	yJ2%A#X",ky0Cp

Value	Count	Frequency (%)
yj4)wln9l	1404	8.1%
qb7!\|%wl@\gp	693	4.0%
en4<&*wf	486	2.8%
qm9\|mq\|t`y	448	2.6%
uo2",%k5r$b@4l	385	2.2%
jb9=ssb/_m	378	2.2%
ja1*_,ath3	360	2.1%
gh5>xf+>vk	352	2.0%
vx6>pkus?!'~n7uc	294	1.7%
tf0(h1e_\|yjdyw	252	1.5%
Other values (376)	12281	70.9%

Most occurring characters

Value	Count	Frequency (%)
L	6265	3.1%
9	6018	3.0%
N	4339	2.1%
4	4320	2.1%
\|	4092	2.0%
y	3959	1.9%
w	3910	1.9%
X	3505	1.7%
`	3383	1.7%
1	3379	1.7%
Other values (78)	160396	78.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	203566	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	6265	3.1%
9	6018	3.0%
N	4339	2.1%
4	4320	2.1%
\|	4092	2.0%
y	3959	1.9%
w	3910	1.9%
X	3505	1.7%
`	3383	1.7%
1	3379	1.7%
Other values (78)	160396	78.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	203566	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	6265	3.1%
9	6018	3.0%
N	4339	2.1%
4	4320	2.1%
\|	4092	2.0%
y	3959	1.9%
w	3910	1.9%
X	3505	1.7%
`	3383	1.7%
1	3379	1.7%
Other values (78)	160396	78.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	203566	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	6265	3.1%
9	6018	3.0%
N	4339	2.1%
4	4320	2.1%
\|	4092	2.0%
y	3959	1.9%
w	3910	1.9%
X	3505	1.7%
`	3383	1.7%
1	3379	1.7%
Other values (78)	160396	78.8%

CHANGE_PASSWORD_x
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.1 KiB

True	17333

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	17333	100.0%

FULL_NAME
Text

Distinct	386
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	135.5 KiB

Length

Max length	21
Median length	19
Mean length	14.052732
Min length	8

Characters and Unicode

Total characters	243576
Distinct characters	53
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	160 ?
Unique (%)	0.9%

Sample

1st row	Maximo McCauley
2nd row	Maximo McCauley
3rd row	Maximo McCauley
4th row	Maximo McCauley
5th row	Maximo McCauley

Value	Count	Frequency (%)
brantley	1404	4.0%
barbera	1404	4.0%
lettie	693	2.0%
load	693	2.0%
shoshanna	486	1.4%
rigden	486	1.4%
vin	472	1.4%
grantham	448	1.3%
waslin	448	1.3%
kania	385	1.1%
Other values (751)	27785	80.1%

Most occurring characters

Value	Count	Frequency (%)
a	24824	10.2%
e	24331	10.0%
r	18551	7.6%
n	18316	7.5%
	17371	7.1%
i	14893	6.1%
l	14755	6.1%
o	11014	4.5%
t	10746	4.4%
y	6951	2.9%
Other values (43)	81824	33.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	243576	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	24824	10.2%
e	24331	10.0%
r	18551	7.6%
n	18316	7.5%
	17371	7.1%
i	14893	6.1%
l	14755	6.1%
o	11014	4.5%
t	10746	4.4%
y	6951	2.9%
Other values (43)	81824	33.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	243576	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	24824	10.2%
e	24331	10.0%
r	18551	7.6%
n	18316	7.5%
	17371	7.1%
i	14893	6.1%
l	14755	6.1%
o	11014	4.5%
t	10746	4.4%
y	6951	2.9%
Other values (43)	81824	33.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	243576	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	24824	10.2%
e	24331	10.0%
r	18551	7.6%
n	18316	7.5%
	17371	7.1%
i	14893	6.1%
l	14755	6.1%
o	11014	4.5%
t	10746	4.4%
y	6951	2.9%
Other values (43)	81824	33.6%

USER_PROJECT_ID
Real number (ℝ)

Distinct	1039
Distinct (%)	6.0%
Missing	68
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	524.87883

Minimum	1
Maximum	1200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1
5-th percentile	38
Q1	260
median	520
Q3	778
95-th percentile	1084
Maximum	1200
Range	1199
Interquartile range (IQR)	518

Descriptive statistics

Standard deviation	316.34722
Coefficient of variation (CV)	0.60270523
Kurtosis	-0.95367264
Mean	524.87883
Median Absolute Deviation (MAD)	259
Skewness	0.14735274
Sum	9062033
Variance	100075.56
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
107	117	0.7%
1084	117	0.7%
328	117	0.7%
593	117	0.7%
726	117	0.7%
804	117	0.7%
835	117	0.7%
850	117	0.7%
294	117	0.7%
20	117	0.7%
Other values (1029)	16095	92.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	0.1%
2	5	< 0.1%
3	24	0.1%
4	16	0.1%
6	45	0.3%
7	24	0.1%
8	4	< 0.1%
9	6	< 0.1%
10	4	< 0.1%
11	63	0.4%

Value	Count	Frequency (%)
1200	1	< 0.1%
1199	1	< 0.1%
1198	1	< 0.1%
1197	6	< 0.1%
1195	8	< 0.1%
1192	9	0.1%
1190	1	< 0.1%
1189	16	0.1%
1188	1	< 0.1%
1187	5	< 0.1%

PROJECT_NAME
Text

Distinct	71
Distinct (%)	0.4%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	16
Median length	15
Mean length	9.8162757
Min length	7

Characters and Unicode

Total characters	169478
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ByteHub
2nd row	CyberSphere
3rd row	DataBlast
4th row	ByteGenius
5th row	CodeBlaze

Value	Count	Frequency (%)
pixelcloud	918	5.3%
cyberblast	634	3.7%
bytehub	590	3.4%
codegenius	536	3.1%
innovatematrix	527	3.1%
codesavvy	524	3.0%
pixelnest	514	3.0%
technest	504	2.9%
codepulse	475	2.8%
appsphere	464	2.7%
Other values (61)	11579	67.1%

Most occurring characters

Value	Count	Frequency (%)
e	24263	14.3%
a	13063	7.7%
t	11481	6.8%
o	9085	5.4%
C	8673	5.1%
r	8390	5.0%
s	7268	4.3%
l	6872	4.1%
i	6318	3.7%
n	5697	3.4%
Other values (30)	68368	40.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	169478	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	24263	14.3%
a	13063	7.7%
t	11481	6.8%
o	9085	5.4%
C	8673	5.1%
r	8390	5.0%
s	7268	4.3%
l	6872	4.1%
i	6318	3.7%
n	5697	3.4%
Other values (30)	68368	40.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	169478	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	24263	14.3%
a	13063	7.7%
t	11481	6.8%
o	9085	5.4%
C	8673	5.1%
r	8390	5.0%
s	7268	4.3%
l	6872	4.1%
i	6318	3.7%
n	5697	3.4%
Other values (30)	68368	40.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	169478	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	24263	14.3%
a	13063	7.7%
t	11481	6.8%
o	9085	5.4%
C	8673	5.1%
r	8390	5.0%
s	7268	4.3%
l	6872	4.1%
i	6318	3.7%
n	5697	3.4%
Other values (30)	68368	40.3%

PROJECT_DESCRIPTION
Text

Distinct	128
Distinct (%)	0.7%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	100
Median length	88
Mean length	75.521228
Min length	54

Characters and Unicode

Total characters	1303874
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Building a collaborative project management platform for teams
2nd row	Building a recommendation engine based on user behavior analysis
3rd row	Designing a decentralized social media platform for censorship-resistant communication
4th row	Designing a decentralized content delivery network (CDN) for distributed content distribution
5th row	Designing a decentralized autonomous organization (DAO) for decentralized governance

Value	Count	Frequency (%)
for	14962	9.6%
a	14856	9.6%
decentralized	8777	5.7%
building	4357	2.8%
designing	4292	2.8%
implementing	4069	2.6%
developing	3686	2.4%
platform	3142	2.0%
system	2778	1.8%
defi	2697	1.7%
Other values (298)	91439	59.0%

Most occurring characters

Value	Count	Frequency (%)
	137790	10.6%
e	131521	10.1%
i	106301	8.2%
n	105848	8.1%
a	97973	7.5%
t	80735	6.2%
o	77547	5.9%
r	70281	5.4%
l	53275	4.1%
s	52312	4.0%
Other values (41)	390291	29.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1303874	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	137790	10.6%
e	131521	10.1%
i	106301	8.2%
n	105848	8.1%
a	97973	7.5%
t	80735	6.2%
o	77547	5.9%
r	70281	5.4%
l	53275	4.1%
s	52312	4.0%
Other values (41)	390291	29.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1303874	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	137790	10.6%
e	131521	10.1%
i	106301	8.2%
n	105848	8.1%
a	97973	7.5%
t	80735	6.2%
o	77547	5.9%
r	70281	5.4%
l	53275	4.1%
s	52312	4.0%
Other values (41)	390291	29.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1303874	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	137790	10.6%
e	131521	10.1%
i	106301	8.2%
n	105848	8.1%
a	97973	7.5%
t	80735	6.2%
o	77547	5.9%
r	70281	5.4%
l	53275	4.1%
s	52312	4.0%
Other values (41)	390291	29.9%

STATUS_y
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Pending	6735
Rejected	5329
Approved	5201

Length

Max length	8
Median length	8
Mean length	7.6099044
Min length	7

Characters and Unicode

Total characters	131385
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Pending
2nd row	Approved
3rd row	Approved
4th row	Approved
5th row	Pending

Common Values

Value	Count	Frequency (%)
Pending	6735	38.9%
Rejected	5329	30.7%
Approved	5201	30.0%
(Missing)	68	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pending	6735	39.0%
rejected	5329	30.9%
approved	5201	30.1%

Most occurring characters

Value	Count	Frequency (%)
e	27923	21.3%
d	17265	13.1%
n	13470	10.3%
p	10402	7.9%
P	6735	5.1%
i	6735	5.1%
g	6735	5.1%
R	5329	4.1%
j	5329	4.1%
c	5329	4.1%
Other values (5)	26133	19.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	131385	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	27923	21.3%
d	17265	13.1%
n	13470	10.3%
p	10402	7.9%
P	6735	5.1%
i	6735	5.1%
g	6735	5.1%
R	5329	4.1%
j	5329	4.1%
c	5329	4.1%
Other values (5)	26133	19.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	131385	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	27923	21.3%
d	17265	13.1%
n	13470	10.3%
p	10402	7.9%
P	6735	5.1%
i	6735	5.1%
g	6735	5.1%
R	5329	4.1%
j	5329	4.1%
c	5329	4.1%
Other values (5)	26133	19.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	131385	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	27923	21.3%
d	17265	13.1%
n	13470	10.3%
p	10402	7.9%
P	6735	5.1%
i	6735	5.1%
g	6735	5.1%
R	5329	4.1%
j	5329	4.1%
c	5329	4.1%
Other values (5)	26133	19.9%

PROJECT_LINK
Text

Distinct	165
Distinct (%)	1.0%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	33
Median length	32
Mean length	32.374515
Min length	31

Characters and Unicode

Total characters	558946
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	http://www.example.com/project85
2nd row	http://www.example.com/project109
3rd row	http://www.example.com/project128
4th row	http://www.example.com/project17
5th row	http://www.example.com/project82

Value	Count	Frequency (%)
http://www.example.com/project123	303	1.8%
http://www.example.com/project31	295	1.7%
http://www.example.com/project124	278	1.6%
http://www.example.com/project59	229	1.3%
http://www.example.com/project137	218	1.3%
http://www.example.com/project6	208	1.2%
http://www.example.com/project86	204	1.2%
http://www.example.com/project146	204	1.2%
http://www.example.com/project99	201	1.2%
http://www.example.com/project76	201	1.2%
Other values (155)	14924	86.4%

Most occurring characters

Value	Count	Frequency (%)
p	51795	9.3%
/	51795	9.3%
w	51795	9.3%
e	51795	9.3%
t	51795	9.3%
o	34530	6.2%
c	34530	6.2%
.	34530	6.2%
m	34530	6.2%
j	17265	3.1%
Other values (16)	144586	25.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	558946	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
p	51795	9.3%
/	51795	9.3%
w	51795	9.3%
e	51795	9.3%
t	51795	9.3%
o	34530	6.2%
c	34530	6.2%
.	34530	6.2%
m	34530	6.2%
j	17265	3.1%
Other values (16)	144586	25.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	558946	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
p	51795	9.3%
/	51795	9.3%
w	51795	9.3%
e	51795	9.3%
t	51795	9.3%
o	34530	6.2%
c	34530	6.2%
.	34530	6.2%
m	34530	6.2%
j	17265	3.1%
Other values (16)	144586	25.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	558946	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
p	51795	9.3%
/	51795	9.3%
w	51795	9.3%
e	51795	9.3%
t	51795	9.3%
o	34530	6.2%
c	34530	6.2%
.	34530	6.2%
m	34530	6.2%
j	17265	3.1%
Other values (16)	144586	25.9%

EMAIL_y
Text

Distinct	319
Distinct (%)	1.8%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	33
Median length	30
Mean length	22.057515
Min length	13

Characters and Unicode

Total characters	380823
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	94 ?
Unique (%)	0.5%

Sample

1st row	mmccauley4e@nytimes.com
2nd row	mmccauley4e@nytimes.com
3rd row	mmccauley4e@nytimes.com
4th row	mmccauley4e@nytimes.com
5th row	mmccauley4e@nytimes.com

Value	Count	Frequency (%)
bbarbera1x@usatoday.com	1404	8.1%
lloadar@miibeian.gov.cn	693	4.0%
srigden16@indiegogo.com	486	2.8%
gwaslinai@tumblr.com	448	2.6%
khaggus43@imageshack.us	385	2.2%
nmccurlyeo@uol.com.br	378	2.2%
cshelton3t@odnoklassniki.ru	360	2.1%
vdahlgrenbg@friendfeed.com	352	2.0%
syarrington4o@zdnet.com	294	1.7%
agerriessenb1@examiner.com	252	1.5%
Other values (309)	12213	70.7%

Most occurring characters

Value	Count	Frequency (%)
o	31568	8.3%
e	27832	7.3%
a	27120	7.1%
c	23422	6.2%
r	21569	5.7%
m	19864	5.2%
n	19364	5.1%
.	19310	5.1%
i	18807	4.9%
l	17337	4.6%
Other values (29)	154630	40.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	380823	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	31568	8.3%
e	27832	7.3%
a	27120	7.1%
c	23422	6.2%
r	21569	5.7%
m	19864	5.2%
n	19364	5.1%
.	19310	5.1%
i	18807	4.9%
l	17337	4.6%
Other values (29)	154630	40.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	380823	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	31568	8.3%
e	27832	7.3%
a	27120	7.1%
c	23422	6.2%
r	21569	5.7%
m	19864	5.2%
n	19364	5.1%
.	19310	5.1%
i	18807	4.9%
l	17337	4.6%
Other values (29)	154630	40.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	380823	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	31568	8.3%
e	27832	7.3%
a	27120	7.1%
c	23422	6.2%
r	21569	5.7%
m	19864	5.2%
n	19364	5.1%
.	19310	5.1%
i	18807	4.9%
l	17337	4.6%
Other values (29)	154630	40.6%

FIRST_NAME_x
Text

Distinct	313
Distinct (%)	1.8%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	13
Median length	11
Mean length	6.264234
Min length	3

Characters and Unicode

Total characters	108152
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	92 ?
Unique (%)	0.5%

Sample

1st row	Maximo
2nd row	Maximo
3rd row	Maximo
4th row	Maximo
5th row	Maximo

Value	Count	Frequency (%)
brantley	1404	8.1%
lettie	693	4.0%
shoshanna	486	2.8%
vin	472	2.7%
grantham	448	2.6%
kania	385	2.2%
neall	378	2.2%
crista	360	2.1%
swen	294	1.7%
angie	252	1.5%
Other values (304)	12125	70.1%

Most occurring characters

Value	Count	Frequency (%)
a	13522	12.5%
e	12088	11.2%
n	10354	9.6%
i	7773	7.2%
r	7178	6.6%
l	6858	6.3%
t	6637	6.1%
o	4768	4.4%
y	4089	3.8%
h	2864	2.6%
Other values (42)	32021	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	108152	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	13522	12.5%
e	12088	11.2%
n	10354	9.6%
i	7773	7.2%
r	7178	6.6%
l	6858	6.3%
t	6637	6.1%
o	4768	4.4%
y	4089	3.8%
h	2864	2.6%
Other values (42)	32021	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	108152	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	13522	12.5%
e	12088	11.2%
n	10354	9.6%
i	7773	7.2%
r	7178	6.6%
l	6858	6.3%
t	6637	6.1%
o	4768	4.4%
y	4089	3.8%
h	2864	2.6%
Other values (42)	32021	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	108152	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	13522	12.5%
e	12088	11.2%
n	10354	9.6%
i	7773	7.2%
r	7178	6.6%
l	6858	6.3%
t	6637	6.1%
o	4768	4.4%
y	4089	3.8%
h	2864	2.6%
Other values (42)	32021	29.6%

LAST_NAME_x
Text

Distinct	318
Distinct (%)	1.8%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	14
Median length	13
Mean length	6.7867941
Min length	3

Characters and Unicode

Total characters	117174
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	94 ?
Unique (%)	0.5%

Sample

1st row	McCauley
2nd row	McCauley
3rd row	McCauley
4th row	McCauley
5th row	McCauley

Value	Count	Frequency (%)
barbera	1404	8.1%
load	693	4.0%
rigden	486	2.8%
waslin	448	2.6%
haggus	385	2.2%
mccurlye	378	2.2%
shelton	360	2.1%
dahlgren	352	2.0%
yarrington	294	1.7%
gerriessen	252	1.5%
Other values (311)	12218	70.7%

Most occurring characters

Value	Count	Frequency (%)
e	12137	10.4%
r	11304	9.6%
a	11210	9.6%
n	7898	6.7%
l	7818	6.7%
i	7047	6.0%
o	6208	5.3%
g	4153	3.5%
s	4109	3.5%
t	4069	3.5%
Other values (41)	41221	35.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	117174	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	12137	10.4%
r	11304	9.6%
a	11210	9.6%
n	7898	6.7%
l	7818	6.7%
i	7047	6.0%
o	6208	5.3%
g	4153	3.5%
s	4109	3.5%
t	4069	3.5%
Other values (41)	41221	35.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	117174	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	12137	10.4%
r	11304	9.6%
a	11210	9.6%
n	7898	6.7%
l	7818	6.7%
i	7047	6.0%
o	6208	5.3%
g	4153	3.5%
s	4109	3.5%
t	4069	3.5%
Other values (41)	41221	35.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	117174	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	12137	10.4%
r	11304	9.6%
a	11210	9.6%
n	7898	6.7%
l	7818	6.7%
i	7047	6.0%
o	6208	5.3%
g	4153	3.5%
s	4109	3.5%
t	4069	3.5%
Other values (41)	41221	35.2%

ROLE_y
Categorical

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

user	17265

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	69060
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	user
2nd row	user
3rd row	user
4th row	user
5th row	user

Common Values

Value	Count	Frequency (%)
user	17265	99.6%
(Missing)	68	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
user	17265	100.0%

Most occurring characters

Value	Count	Frequency (%)
u	17265	25.0%
s	17265	25.0%
e	17265	25.0%
r	17265	25.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	69060	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	17265	25.0%
s	17265	25.0%
e	17265	25.0%
r	17265	25.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	69060	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	17265	25.0%
s	17265	25.0%
e	17265	25.0%
r	17265	25.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	69060	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	17265	25.0%
s	17265	25.0%
e	17265	25.0%
r	17265	25.0%

PHONE_NUMBER_y
Real number (ℝ)

Distinct	319
Distinct (%)	1.8%
Missing	68
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.0498496 × 10⁹

Minimum	1.0049387 × 10⁹
Maximum	9.9960208 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1.0049387 × 10⁹
5-th percentile	1.3024693 × 10⁹
Q1	3.6052395 × 10⁹
median	6.2831165 × 10⁹
Q3	8.6441764 × 10⁹
95-th percentile	9.52621 × 10⁹
Maximum	9.9960208 × 10⁹
Range	8.9910821 × 10⁹
Interquartile range (IQR)	5.038937 × 10⁹

Descriptive statistics

Standard deviation	2.6813207 × 10⁹
Coefficient of variation (CV)	0.44320452
Kurtosis	-1.119781
Mean	6.0498496 × 10⁹
Median Absolute Deviation (MAD)	2.3936422 × 10⁹
Skewness	-0.29126312
Sum	1.0445065 × 10¹⁴
Variance	7.1894806 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9224743888	1404	8.1%
3605239489	693	4.0%
5811418659	486	2.8%
5913549527	448	2.6%
9526209988	385	2.2%
7129119794	378	2.2%
4328864394	360	2.1%
7743556574	352	2.0%
3587136794	294	1.7%
6321637239	252	1.5%
Other values (309)	12213	70.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1004938722	96	0.6%
1008868059	1	< 0.1%
1066117899	189	1.1%
1092149162	1	< 0.1%
1133247041	72	0.4%
1172341225	1	< 0.1%
1178022515	168	1.0%
1203986793	60	0.3%
1287136254	70	0.4%
1302469256	210	1.2%

Value	Count	Frequency (%)
9996020840	1	< 0.1%
9966994472	36	0.2%
9961356509	48	0.3%
9906928741	64	0.4%
9901322391	36	0.2%
9877161571	36	0.2%
9872962156	160	0.9%
9872017012	180	1.0%
9854767904	1	< 0.1%
9789890490	24	0.1%

PASSWORD_y
Text

Distinct	319
Distinct (%)	1.8%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

Length

Max length	16
Median length	13
Mean length	11.74457
Min length	8

Characters and Unicode

Total characters	202770
Distinct characters	88
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	94 ?
Unique (%)	0.5%

Sample

1st row	yJ2%A#X",ky0Cp
2nd row	yJ2%A#X",ky0Cp
3rd row	yJ2%A#X",ky0Cp
4th row	yJ2%A#X",ky0Cp
5th row	yJ2%A#X",ky0Cp

Value	Count	Frequency (%)
yj4)wln9l	1404	8.1%
qb7!\|%wl@\gp	693	4.0%
en4<&*wf	486	2.8%
qm9\|mq\|t`y	448	2.6%
uo2",%k5r$b@4l	385	2.2%
jb9=ssb/_m	378	2.2%
ja1*_,ath3	360	2.1%
gh5>xf+>vk	352	2.0%
vx6>pkus?!'~n7uc	294	1.7%
tf0(h1e_\|yjdyw	252	1.5%
Other values (309)	12213	70.7%

Most occurring characters

Value	Count	Frequency (%)
L	6259	3.1%
9	6007	3.0%
N	4328	2.1%
4	4305	2.1%
\|	4087	2.0%
y	3951	1.9%
w	3898	1.9%
X	3494	1.7%
`	3372	1.7%
1	3367	1.7%
Other values (78)	159702	78.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	202770	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	6259	3.1%
9	6007	3.0%
N	4328	2.1%
4	4305	2.1%
\|	4087	2.0%
y	3951	1.9%
w	3898	1.9%
X	3494	1.7%
`	3372	1.7%
1	3367	1.7%
Other values (78)	159702	78.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	202770	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	6259	3.1%
9	6007	3.0%
N	4328	2.1%
4	4305	2.1%
\|	4087	2.0%
y	3951	1.9%
w	3898	1.9%
X	3494	1.7%
`	3372	1.7%
1	3367	1.7%
Other values (78)	159702	78.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	202770	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	6259	3.1%
9	6007	3.0%
N	4328	2.1%
4	4305	2.1%
\|	4087	2.0%
y	3951	1.9%
w	3898	1.9%
X	3494	1.7%
`	3372	1.7%
1	3367	1.7%
Other values (78)	159702	78.8%

CHANGE_PASSWORD_y
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	68
Missing (%)	0.4%
Memory size	135.5 KiB

True	17265
(Missing)	68

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	17265	99.6%
(Missing)	68	0.4%

USER_CERTIFICATE_ID
Real number (ℝ)

Distinct	868
Distinct (%)	5.1%
Missing	165
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	422.32922

Minimum	2
Maximum	1000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	2
5-th percentile	45
Q1	203
median	394
Q3	609
95-th percentile	940
Maximum	1000
Range	998
Interquartile range (IQR)	406

Descriptive statistics

Standard deviation	263.63942
Coefficient of variation (CV)	0.62425097
Kurtosis	-0.75167524
Mean	422.32922
Median Absolute Deviation (MAD)	202
Skewness	0.39472644
Sum	7250548
Variance	69505.746
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
940	108	0.6%
296	108	0.6%
67	108	0.6%
166	108	0.6%
214	108	0.6%
280	108	0.6%
143	108	0.6%
397	108	0.6%
483	108	0.6%
545	108	0.6%
Other values (858)	16088	92.8%
(Missing)	165	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	12	0.1%
3	54	0.3%
4	12	0.1%
5	6	< 0.1%
6	48	0.3%
7	8	< 0.1%
8	16	0.1%
9	16	0.1%
10	6	< 0.1%
11	15	0.1%

Value	Count	Frequency (%)
1000	16	0.1%
999	9	0.1%
997	20	0.1%
994	25	0.1%
992	12	0.1%
991	12	0.1%
990	24	0.1%
987	1	< 0.1%
986	20	0.1%
984	1	< 0.1%

CERTIFICATE_ID
Real number (ℝ)

Distinct	50
Distinct (%)	0.3%
Missing	165
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	25.146435

Minimum	1
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	14
median	25
Q3	38
95-th percentile	48
Maximum	50
Range	49
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	14.435273
Coefficient of variation (CV)	0.57404849
Kurtosis	-1.2186027
Mean	25.146435
Median Absolute Deviation (MAD)	13
Skewness	0.0087239229
Sum	431714
Variance	208.37711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	591	3.4%
44	515	3.0%
17	513	3.0%
40	512	3.0%
36	493	2.8%
5	487	2.8%
39	439	2.5%
31	429	2.5%
23	424	2.4%
9	409	2.4%
Other values (40)	12356	71.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	353	2.0%
2	360	2.1%
3	395	2.3%
4	345	2.0%
5	487	2.8%
6	381	2.2%
7	282	1.6%
8	282	1.6%
9	409	2.4%
10	395	2.3%

Value	Count	Frequency (%)
50	269	1.6%
49	388	2.2%
48	278	1.6%
47	223	1.3%
46	261	1.5%
45	339	2.0%
44	515	3.0%
43	363	2.1%
42	315	1.8%
41	258	1.5%

VALID_FROM
Date

Distinct	331
Distinct (%)	1.9%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Minimum	2023-04-06 00:00:00
Maximum	2024-04-04 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

VALID_TILL
Date

Distinct	330
Distinct (%)	1.9%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Minimum	2025-04-06 00:00:00
Maximum	2026-04-04 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

STATUS
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Pending	7274
Rejected	5614
Approved	4280

Length

Max length	8
Median length	8
Mean length	7.5763048
Min length	7

Characters and Unicode

Total characters	130070
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Pending
2nd row	Pending
3rd row	Pending
4th row	Pending
5th row	Pending

Common Values

Value	Count	Frequency (%)
Pending	7274	42.0%
Rejected	5614	32.4%
Approved	4280	24.7%
(Missing)	165	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
pending	7274	42.4%
rejected	5614	32.7%
approved	4280	24.9%

Most occurring characters

Value	Count	Frequency (%)
e	28396	21.8%
d	17168	13.2%
n	14548	11.2%
p	8560	6.6%
P	7274	5.6%
i	7274	5.6%
g	7274	5.6%
R	5614	4.3%
j	5614	4.3%
c	5614	4.3%
Other values (5)	22734	17.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	130070	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	28396	21.8%
d	17168	13.2%
n	14548	11.2%
p	8560	6.6%
P	7274	5.6%
i	7274	5.6%
g	7274	5.6%
R	5614	4.3%
j	5614	4.3%
c	5614	4.3%
Other values (5)	22734	17.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	130070	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	28396	21.8%
d	17168	13.2%
n	14548	11.2%
p	8560	6.6%
P	7274	5.6%
i	7274	5.6%
g	7274	5.6%
R	5614	4.3%
j	5614	4.3%
c	5614	4.3%
Other values (5)	22734	17.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	130070	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	28396	21.8%
d	17168	13.2%
n	14548	11.2%
p	8560	6.6%
P	7274	5.6%
i	7274	5.6%
g	7274	5.6%
R	5614	4.3%
j	5614	4.3%
c	5614	4.3%
Other values (5)	22734	17.5%

CREDENTIAL_ID
Text

Distinct	868
Distinct (%)	5.1%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	618048
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	0.5%

Sample

1st row	6a4f2026-d87d-4972-9070-521a7ff3e6ca
2nd row	6a4f2026-d87d-4972-9070-521a7ff3e6ca
3rd row	6a4f2026-d87d-4972-9070-521a7ff3e6ca
4th row	6a4f2026-d87d-4972-9070-521a7ff3e6ca
5th row	6a4f2026-d87d-4972-9070-521a7ff3e6ca

Value	Count	Frequency (%)
e4bbcdda-b437-4d54-a3e2-49fe16b19486	108	0.6%
9fdd3351-f534-4c8f-983a-17a21a147fe8	108	0.6%
4711b6ef-bc83-45fb-8360-30b824a9a23a	108	0.6%
3422a0a0-fd9e-45ce-86e3-2a17754640ba	108	0.6%
7ca3907e-d5d0-4544-bbad-6b37c44c3625	108	0.6%
982f3200-2732-4757-8673-41a191fcca5e	108	0.6%
4c1be6f8-91c1-42b3-afc3-8e1c6a8138ca	108	0.6%
17973c5b-ebc5-4e0d-b4fa-afc8ebb71bd6	108	0.6%
2fa763ce-9436-4217-bc28-3c37e78a914b	108	0.6%
0dfce7a1-4234-4aa9-85d0-8fd195cc80f2	108	0.6%
Other values (858)	16088	93.7%

Most occurring characters

Value	Count	Frequency (%)
-	68672	11.1%
4	49233	8.0%
8	38107	6.2%
b	37126	6.0%
a	35042	5.7%
9	34181	5.5%
1	33958	5.5%
7	33149	5.4%
f	32835	5.3%
c	32687	5.3%
Other values (7)	223058	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	618048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	68672	11.1%
4	49233	8.0%
8	38107	6.2%
b	37126	6.0%
a	35042	5.7%
9	34181	5.5%
1	33958	5.5%
7	33149	5.4%
f	32835	5.3%
c	32687	5.3%
Other values (7)	223058	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	618048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	68672	11.1%
4	49233	8.0%
8	38107	6.2%
b	37126	6.0%
a	35042	5.7%
9	34181	5.5%
1	33958	5.5%
7	33149	5.4%
f	32835	5.3%
c	32687	5.3%
Other values (7)	223058	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	618048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	68672	11.1%
4	49233	8.0%
8	38107	6.2%
b	37126	6.0%
a	35042	5.7%
9	34181	5.5%
1	33958	5.5%
7	33149	5.4%
f	32835	5.3%
c	32687	5.3%
Other values (7)	223058	36.1%

CERTIFICATE_NAME
Categorical

Distinct	50
Distinct (%)	0.3%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Google Professional Machine Learning Engineer	591
VMware Certified Professional - Network Virtualization (VCP-NV)	515
Microsoft Certified: Azure Administrator Associate	513
Certified Cloud Security Professional (CCSP)	512
Cisco Certified DevNet Professional	493
Other values (45)	14544

Length

Max length	83
Median length	51
Mean length	43.402202
Min length	10

Characters and Unicode

Total characters	745129
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AWS Certified Security - Specialty
2nd row	AWS Certified Security - Specialty
3rd row	AWS Certified Security - Specialty
4th row	AWS Certified Security - Specialty
5th row	AWS Certified Security - Specialty

Common Values

Value	Count	Frequency (%)
Google Professional Machine Learning Engineer	591	3.4%
VMware Certified Professional - Network Virtualization (VCP-NV)	515	3.0%
Microsoft Certified: Azure Administrator Associate	513	3.0%
Certified Cloud Security Professional (CCSP)	512	3.0%
Cisco Certified DevNet Professional	493	2.8%
AWS Certified DevOps Engineer - Professional	487	2.8%
Certified Information Security Manager (CISM)	439	2.5%
Cisco Certified Network Associate (CCNA)	429	2.5%
Microsoft Certified: Azure Data Engineer Associate	424	2.4%
Google Professional Cloud Architect	409	2.4%
Other values (40)	12356	71.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
certified	12107	13.7%
professional	6965	7.9%
associate	4625	5.2%
	4396	5.0%
engineer	3854	4.4%
microsoft	3038	3.4%
azure	3038	3.4%
aws	2603	3.0%
google	2570	2.9%
security	2558	2.9%
Other values (70)	42433	48.1%

Most occurring characters

Value	Count	Frequency (%)
e	75350	10.1%
	71019	9.5%
i	64247	8.6%
o	49322	6.6%
r	49160	6.6%
t	45223	6.1%
s	37656	5.1%
n	32298	4.3%
a	31306	4.2%
C	29440	4.0%
Other values (40)	260108	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	745129	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	75350	10.1%
	71019	9.5%
i	64247	8.6%
o	49322	6.6%
r	49160	6.6%
t	45223	6.1%
s	37656	5.1%
n	32298	4.3%
a	31306	4.2%
C	29440	4.0%
Other values (40)	260108	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	745129	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	75350	10.1%
	71019	9.5%
i	64247	8.6%
o	49322	6.6%
r	49160	6.6%
t	45223	6.1%
s	37656	5.1%
n	32298	4.3%
a	31306	4.2%
C	29440	4.0%
Other values (40)	260108	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	745129	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	75350	10.1%
	71019	9.5%
i	64247	8.6%
o	49322	6.6%
r	49160	6.6%
t	45223	6.1%
s	37656	5.1%
n	32298	4.3%
a	31306	4.2%
C	29440	4.0%
Other values (40)	260108	34.9%

EMAIL
Text

Distinct	303
Distinct (%)	1.8%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Length

Max length	33
Median length	30
Mean length	22.075373
Min length	13

Characters and Unicode

Total characters	378990
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	0.5%

Sample

1st row	mmccauley4e@nytimes.com
2nd row	mmccauley4e@nytimes.com
3rd row	mmccauley4e@nytimes.com
4th row	mmccauley4e@nytimes.com
5th row	mmccauley4e@nytimes.com

Value	Count	Frequency (%)
bbarbera1x@usatoday.com	1404	8.2%
lloadar@miibeian.gov.cn	693	4.0%
srigden16@indiegogo.com	486	2.8%
gwaslinai@tumblr.com	448	2.6%
khaggus43@imageshack.us	385	2.2%
nmccurlyeo@uol.com.br	378	2.2%
cshelton3t@odnoklassniki.ru	360	2.1%
vdahlgrenbg@friendfeed.com	352	2.1%
syarrington4o@zdnet.com	294	1.7%
agerriessenb1@examiner.com	252	1.5%
Other values (293)	12116	70.6%

Most occurring characters

Value	Count	Frequency (%)
o	31458	8.3%
e	27700	7.3%
a	27013	7.1%
c	23320	6.2%
r	21534	5.7%
m	19787	5.2%
n	19261	5.1%
.	19208	5.1%
i	18707	4.9%
l	17224	4.5%
Other values (29)	153778	40.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	378990	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	31458	8.3%
e	27700	7.3%
a	27013	7.1%
c	23320	6.2%
r	21534	5.7%
m	19787	5.2%
n	19261	5.1%
.	19208	5.1%
i	18707	4.9%
l	17224	4.5%
Other values (29)	153778	40.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	378990	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	31458	8.3%
e	27700	7.3%
a	27013	7.1%
c	23320	6.2%
r	21534	5.7%
m	19787	5.2%
n	19261	5.1%
.	19208	5.1%
i	18707	4.9%
l	17224	4.5%
Other values (29)	153778	40.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	378990	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	31458	8.3%
e	27700	7.3%
a	27013	7.1%
c	23320	6.2%
r	21534	5.7%
m	19787	5.2%
n	19261	5.1%
.	19208	5.1%
i	18707	4.9%
l	17224	4.5%
Other values (29)	153778	40.6%

FIRST_NAME_y
Text

Distinct	297
Distinct (%)	1.7%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Length

Max length	13
Median length	11
Mean length	6.2680568
Min length	3

Characters and Unicode

Total characters	107610
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83 ?
Unique (%)	0.5%

Sample

1st row	Maximo
2nd row	Maximo
3rd row	Maximo
4th row	Maximo
5th row	Maximo

Value	Count	Frequency (%)
brantley	1404	8.2%
lettie	693	4.0%
shoshanna	486	2.8%
vin	472	2.7%
grantham	448	2.6%
kania	385	2.2%
neall	378	2.2%
crista	360	2.1%
swen	294	1.7%
angie	252	1.5%
Other values (288)	12028	69.9%

Most occurring characters

Value	Count	Frequency (%)
a	13435	12.5%
e	12018	11.2%
n	10312	9.6%
i	7708	7.2%
r	7140	6.6%
l	6822	6.3%
t	6629	6.2%
o	4751	4.4%
y	4071	3.8%
h	2863	2.7%
Other values (41)	31861	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	107610	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	13435	12.5%
e	12018	11.2%
n	10312	9.6%
i	7708	7.2%
r	7140	6.6%
l	6822	6.3%
t	6629	6.2%
o	4751	4.4%
y	4071	3.8%
h	2863	2.7%
Other values (41)	31861	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	107610	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	13435	12.5%
e	12018	11.2%
n	10312	9.6%
i	7708	7.2%
r	7140	6.6%
l	6822	6.3%
t	6629	6.2%
o	4751	4.4%
y	4071	3.8%
h	2863	2.7%
Other values (41)	31861	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	107610	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	13435	12.5%
e	12018	11.2%
n	10312	9.6%
i	7708	7.2%
r	7140	6.6%
l	6822	6.3%
t	6629	6.2%
o	4751	4.4%
y	4071	3.8%
h	2863	2.7%
Other values (41)	31861	29.6%

LAST_NAME_y
Text

Distinct	302
Distinct (%)	1.8%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Length

Max length	14
Median length	13
Mean length	6.7848322
Min length	3

Characters and Unicode

Total characters	116482
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	0.5%

Sample

1st row	McCauley
2nd row	McCauley
3rd row	McCauley
4th row	McCauley
5th row	McCauley

Value	Count	Frequency (%)
barbera	1404	8.2%
load	693	4.0%
rigden	486	2.8%
waslin	448	2.6%
haggus	385	2.2%
mccurlye	378	2.2%
shelton	360	2.1%
dahlgren	352	2.1%
yarrington	294	1.7%
gerriessen	252	1.5%
Other values (294)	12118	70.6%

Most occurring characters

Value	Count	Frequency (%)
e	12057	10.4%
r	11275	9.7%
a	11164	9.6%
n	7828	6.7%
l	7767	6.7%
i	6993	6.0%
o	6181	5.3%
g	4143	3.6%
s	4082	3.5%
t	4053	3.5%
Other values (42)	40939	35.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	116482	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	12057	10.4%
r	11275	9.7%
a	11164	9.6%
n	7828	6.7%
l	7767	6.7%
i	6993	6.0%
o	6181	5.3%
g	4143	3.6%
s	4082	3.5%
t	4053	3.5%
Other values (42)	40939	35.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	116482	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	12057	10.4%
r	11275	9.7%
a	11164	9.6%
n	7828	6.7%
l	7767	6.7%
i	6993	6.0%
o	6181	5.3%
g	4143	3.6%
s	4082	3.5%
t	4053	3.5%
Other values (42)	40939	35.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	116482	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	12057	10.4%
r	11275	9.7%
a	11164	9.6%
n	7828	6.7%
l	7767	6.7%
i	6993	6.0%
o	6181	5.3%
g	4143	3.6%
s	4082	3.5%
t	4053	3.5%
Other values (42)	40939	35.1%

ROLE
Categorical

IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

user	17167
admin	1

Length

Max length	5
Median length	4
Mean length	4.0000582
Min length	4

Characters and Unicode

Total characters	68673
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	user
2nd row	user
3rd row	user
4th row	user
5th row	user

Common Values

Value	Count	Frequency (%)
user	17167	99.0%
admin	1	< 0.1%
(Missing)	165	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
user	17167	> 99.9%
admin	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
u	17167	25.0%
s	17167	25.0%
e	17167	25.0%
r	17167	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	68673	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	17167	25.0%
s	17167	25.0%
e	17167	25.0%
r	17167	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	68673	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	17167	25.0%
s	17167	25.0%
e	17167	25.0%
r	17167	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	68673	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	17167	25.0%
s	17167	25.0%
e	17167	25.0%
r	17167	25.0%
a	1	< 0.1%
d	1	< 0.1%
m	1	< 0.1%
i	1	< 0.1%
n	1	< 0.1%

PHONE_NUMBER
Real number (ℝ)

Distinct	303
Distinct (%)	1.8%
Missing	165
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.0568039 × 10⁹

Minimum	1.0049387 × 10⁹
Maximum	9.9960208 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	135.5 KiB

Quantile statistics

Minimum	1.0049387 × 10⁹
5-th percentile	1.3024693 × 10⁹
Q1	3.6052395 × 10⁹
median	6.2831165 × 10⁹
Q3	8.6441764 × 10⁹
95-th percentile	9.52621 × 10⁹
Maximum	9.9960208 × 10⁹
Range	8.9910821 × 10⁹
Interquartile range (IQR)	5.038937 × 10⁹

Descriptive statistics

Standard deviation	2.6816434 × 10⁹
Coefficient of variation (CV)	0.44274892
Kurtosis	-1.1202888
Mean	6.0568039 × 10⁹
Median Absolute Deviation (MAD)	2.3936422 × 10⁹
Skewness	-0.29269752
Sum	1.0398321 × 10¹⁴
Variance	7.1912112 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9224743888	1404	8.1%
3605239489	693	4.0%
5811418659	486	2.8%
5913549527	448	2.6%
9526209988	385	2.2%
7129119794	378	2.2%
4328864394	360	2.1%
7743556574	352	2.0%
3587136794	294	1.7%
6321637239	252	1.5%
Other values (293)	12116	69.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1004938722	96	0.6%
1066117899	189	1.1%
1133247041	72	0.4%
1172341225	1	< 0.1%
1178022515	168	1.0%
1203986793	60	0.3%
1287136254	70	0.4%
1302469256	210	1.2%
1308058548	240	1.4%
1315841453	196	1.1%

Value	Count	Frequency (%)
9996020840	1	< 0.1%
9966994472	36	0.2%
9961356509	48	0.3%
9906928741	64	0.4%
9901322391	36	0.2%
9877161571	36	0.2%
9872962156	160	0.9%
9872017012	180	1.0%
9789890490	24	0.1%
9777598477	45	0.3%

PASSWORD
Text

Distinct	303
Distinct (%)	1.8%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

Length

Max length	16
Median length	13
Mean length	11.742078
Min length	7

Characters and Unicode

Total characters	201588
Distinct characters	88
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	86 ?
Unique (%)	0.5%

Sample

1st row	yJ2%A#X",ky0Cp
2nd row	yJ2%A#X",ky0Cp
3rd row	yJ2%A#X",ky0Cp
4th row	yJ2%A#X",ky0Cp
5th row	yJ2%A#X",ky0Cp

Value	Count	Frequency (%)
yj4)wln9l	1404	8.2%
qb7!\|%wl@\gp	693	4.0%
en4<&*wf	486	2.8%
qm9\|mq\|t`y	448	2.6%
uo2",%k5r$b@4l	385	2.2%
jb9=ssb/_m	378	2.2%
ja1*_,ath3	360	2.1%
gh5>xf+>vk	352	2.1%
vx6>pkus?!'~n7uc	294	1.7%
tf0(h1e_\|yjdyw	252	1.5%
Other values (293)	12116	70.6%

Most occurring characters

Value	Count	Frequency (%)
L	6249	3.1%
9	5982	3.0%
N	4318	2.1%
4	4286	2.1%
\|	4076	2.0%
y	3943	2.0%
w	3896	1.9%
X	3473	1.7%
`	3370	1.7%
1	3337	1.7%
Other values (78)	158658	78.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	201588	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
L	6249	3.1%
9	5982	3.0%
N	4318	2.1%
4	4286	2.1%
\|	4076	2.0%
y	3943	2.0%
w	3896	1.9%
X	3473	1.7%
`	3370	1.7%
1	3337	1.7%
Other values (78)	158658	78.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	201588	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
L	6249	3.1%
9	5982	3.0%
N	4318	2.1%
4	4286	2.1%
\|	4076	2.0%
y	3943	2.0%
w	3896	1.9%
X	3473	1.7%
`	3370	1.7%
1	3337	1.7%
Other values (78)	158658	78.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	201588	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
L	6249	3.1%
9	5982	3.0%
N	4318	2.1%
4	4286	2.1%
\|	4076	2.0%
y	3943	2.0%
w	3896	1.9%
X	3473	1.7%
`	3370	1.7%
1	3337	1.7%
Other values (78)	158658	78.7%

CHANGE_PASSWORD
Boolean

CONSTANT

Distinct	1
Distinct (%)	< 0.1%
Missing	165
Missing (%)	1.0%
Memory size	135.5 KiB

True	17168
(Missing)	165

Common Values (Table)
Common Values (Plot)

Value	Count	Frequency (%)
True	17168	99.0%
(Missing)	165	1.0%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	USER_SKILL_ID	SKILL_ID	USER_ID	SKILL_LEVEL	STATUS_x	SKILL_NAME	EMAIL_x	ROLE_x	PHONE_NUMBER_x	PASSWORD_x	CHANGE_PASSWORD_x	FULL_NAME	USER_PROJECT_ID	PROJECT_NAME	PROJECT_DESCRIPTION	STATUS_y	PROJECT_LINK	EMAIL_y	FIRST_NAME_x	LAST_NAME_x	ROLE_y	PHONE_NUMBER_y	PASSWORD_y	CHANGE_PASSWORD_y	USER_CERTIFICATE_ID	CERTIFICATE_ID	VALID_FROM	VALID_TILL	STATUS	CREDENTIAL_ID	CERTIFICATE_NAME	EMAIL	FIRST_NAME_y	LAST_NAME_y	ROLE	PHONE_NUMBER	PASSWORD	CHANGE_PASSWORD
0	1	33	169	Advance	Approved	Kanban	mmccauley4e@nytimes.com	user	9281548370	yJ2%A#X",ky0Cp	True	Maximo McCauley	93.0	ByteHub	Building a collaborative project management platform for teams	Pending	http://www.example.com/project85	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True	321.0	6.0	2023-07-21	2025-07-21	Pending	6a4f2026-d87d-4972-9070-521a7ff3e6ca	AWS Certified Security - Specialty	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True
1	1	33	169	Advance	Approved	Kanban	mmccauley4e@nytimes.com	user	9281548370	yJ2%A#X",ky0Cp	True	Maximo McCauley	286.0	CyberSphere	Building a recommendation engine based on user behavior analysis	Approved	http://www.example.com/project109	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True	321.0	6.0	2023-07-21	2025-07-21	Pending	6a4f2026-d87d-4972-9070-521a7ff3e6ca	AWS Certified Security - Specialty	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True
2	1	33	169	Advance	Approved	Kanban	mmccauley4e@nytimes.com	user	9281548370	yJ2%A#X",ky0Cp	True	Maximo McCauley	586.0	DataBlast	Designing a decentralized social media platform for censorship-resistant communication	Approved	http://www.example.com/project128	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True	321.0	6.0	2023-07-21	2025-07-21	Pending	6a4f2026-d87d-4972-9070-521a7ff3e6ca	AWS Certified Security - Specialty	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True
3	1	33	169	Advance	Approved	Kanban	mmccauley4e@nytimes.com	user	9281548370	yJ2%A#X",ky0Cp	True	Maximo McCauley	891.0	ByteGenius	Designing a decentralized content delivery network (CDN) for distributed content distribution	Approved	http://www.example.com/project17	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True	321.0	6.0	2023-07-21	2025-07-21	Pending	6a4f2026-d87d-4972-9070-521a7ff3e6ca	AWS Certified Security - Specialty	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True
4	1	33	169	Advance	Approved	Kanban	mmccauley4e@nytimes.com	user	9281548370	yJ2%A#X",ky0Cp	True	Maximo McCauley	1080.0	CodeBlaze	Designing a decentralized autonomous organization (DAO) for decentralized governance	Pending	http://www.example.com/project82	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True	321.0	6.0	2023-07-21	2025-07-21	Pending	6a4f2026-d87d-4972-9070-521a7ff3e6ca	AWS Certified Security - Specialty	mmccauley4e@nytimes.com	Maximo	McCauley	user	9.281548e+09	yJ2%A#X",ky0Cp	True
5	2	43	158	Beginner	Approved	Artificial Intelligence	khaggus43@imageshack.us	user	9526209988	uO2",%k5r$b@4L	True	Kania Haggus	102.0	TechNest	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project108	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True	19.0	28.0	2024-03-18	2026-03-18	Rejected	eb56edba-5a32-45fd-b0a3-24179c78ef44	CompTIA Cybersecurity Analyst (CySA+)	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True
6	2	43	158	Beginner	Approved	Artificial Intelligence	khaggus43@imageshack.us	user	9526209988	uO2",%k5r$b@4L	True	Kania Haggus	102.0	TechNest	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project108	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True	115.0	16.0	2024-02-20	2026-02-20	Approved	8bed1dff-5678-4325-9ea8-8062da9528ae	Microsoft Certified: Azure Fundamentals	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True
7	2	43	158	Beginner	Approved	Artificial Intelligence	khaggus43@imageshack.us	user	9526209988	uO2",%k5r$b@4L	True	Kania Haggus	102.0	TechNest	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project108	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True	162.0	12.0	2023-11-15	2025-11-15	Approved	cd766306-045c-45c2-a691-fc177826de52	Google Professional Cloud Network Engineer	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True
8	2	43	158	Beginner	Approved	Artificial Intelligence	khaggus43@imageshack.us	user	9526209988	uO2",%k5r$b@4L	True	Kania Haggus	102.0	TechNest	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project108	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True	244.0	48.0	2023-04-14	2025-04-14	Rejected	e8f78122-ec82-4bf5-908b-46fb7f71bdf9	Certified ScrumMaster (CSM)	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True
9	2	43	158	Beginner	Approved	Artificial Intelligence	khaggus43@imageshack.us	user	9526209988	uO2",%k5r$b@4L	True	Kania Haggus	102.0	TechNest	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project108	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True	256.0	31.0	2024-02-07	2026-02-07	Rejected	5ca8a625-79f9-480f-8770-32471203ede7	Cisco Certified Network Associate (CCNA)	khaggus43@imageshack.us	Kania	Haggus	user	9.526210e+09	uO2",%k5r$b@4L	True

	USER_SKILL_ID	SKILL_ID	USER_ID	SKILL_LEVEL	STATUS_x	SKILL_NAME	EMAIL_x	ROLE_x	PHONE_NUMBER_x	PASSWORD_x	CHANGE_PASSWORD_x	FULL_NAME	USER_PROJECT_ID	PROJECT_NAME	PROJECT_DESCRIPTION	STATUS_y	PROJECT_LINK	EMAIL_y	FIRST_NAME_x	LAST_NAME_x	ROLE_y	PHONE_NUMBER_y	PASSWORD_y	CHANGE_PASSWORD_y	USER_CERTIFICATE_ID	CERTIFICATE_ID	VALID_FROM	VALID_TILL	STATUS	CREDENTIAL_ID	CERTIFICATE_NAME	EMAIL	FIRST_NAME_y	LAST_NAME_y	ROLE	PHONE_NUMBER	PASSWORD	CHANGE_PASSWORD
17323	1097	48	239	Advance	Pending	Robotics	fblondel6c@cam.ac.uk	user	3794940074	xL6@..H#u@&Uhv3	True	Fredrick Blondel	983.0	TechTonic	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project106	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True	78.0	1.0	2023-08-15	2025-08-15	Rejected	6d994312-3fac-4502-affb-536b4534caaf	AWS Certified Solutions Architect - Associate	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True
17324	1097	48	239	Advance	Pending	Robotics	fblondel6c@cam.ac.uk	user	3794940074	xL6@..H#u@&Uhv3	True	Fredrick Blondel	983.0	TechTonic	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project106	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True	399.0	11.0	2023-10-17	2025-10-17	Rejected	a42ad6c5-06d2-4abc-9efe-27b26a4b7206	Google Professional Cloud Developer	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True
17325	1097	48	239	Advance	Pending	Robotics	fblondel6c@cam.ac.uk	user	3794940074	xL6@..H#u@&Uhv3	True	Fredrick Blondel	983.0	TechTonic	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project106	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True	406.0	7.0	2023-08-21	2025-08-21	Pending	a429f5e9-ecb1-4dae-904a-f38ecfff0f1e	AWS Certified Advanced Networking - Specialty	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True
17326	1097	48	239	Advance	Pending	Robotics	fblondel6c@cam.ac.uk	user	3794940074	xL6@..H#u@&Uhv3	True	Fredrick Blondel	983.0	TechTonic	Developing a blockchain-based decentralized finance (DeFi) lending platform for peer-to-peer lending	Pending	http://www.example.com/project106	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True	446.0	47.0	2023-06-08	2025-06-08	Pending	1133add4-97fd-472c-a85c-84a6c77a046a	VMware Certified Design Expert (VCDX)	fblondel6c@cam.ac.uk	Fredrick	Blondel	user	3.794940e+09	xL6@..H#u@&Uhv3	True
17327	1098	15	144	Intermediate	Pending	Go	wboundley3p@e-recht24.de	user	3293712554	sG4'q`Q{&W.2wH8d	True	Webster Boundley	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	898.0	37.0	2023-05-31	2025-05-31	Pending	d17d7acc-8f14-400d-8999-b5221dba90e0	Certified Ethical Hacker (CEH)	wboundley3p@e-recht24.de	Webster	Boundley	user	3.293713e+09	sG4'q`Q{&W.2wH8d	True
17328	1099	33	145	Beginner	Pending	Kanban	ckeemar3q@cnn.com	user	4139864134	pS8}rQwnF"tVh$!	True	Carin Keemar	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
17329	1100	8	223	Beginner	Pending	Node.js	gskirving5w@about.com	user	1668639496	qM5+\G`XX	True	Gabrielle Skirving	357.0	CodeCrafters	Designing a decentralized autonomous organization (DAO) for decentralized governance	Rejected	http://www.example.com/project161	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True	48.0	11.0	2023-05-18	2025-05-18	Pending	38b4146f-e079-437d-a00a-15a665beb720	Google Professional Cloud Developer	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True
17330	1100	8	223	Beginner	Pending	Node.js	gskirving5w@about.com	user	1668639496	qM5+\G`XX	True	Gabrielle Skirving	357.0	CodeCrafters	Designing a decentralized autonomous organization (DAO) for decentralized governance	Rejected	http://www.example.com/project161	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True	318.0	31.0	2023-10-22	2025-10-22	Rejected	24524ff9-399d-454e-89d3-23935d251bb9	Cisco Certified Network Associate (CCNA)	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True
17331	1100	8	223	Beginner	Pending	Node.js	gskirving5w@about.com	user	1668639496	qM5+\G`XX	True	Gabrielle Skirving	357.0	CodeCrafters	Designing a decentralized autonomous organization (DAO) for decentralized governance	Rejected	http://www.example.com/project161	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True	543.0	49.0	2023-08-13	2025-08-13	Approved	38868738-c71d-401a-8a4e-8d8f853742c1	Project Management Professional (PMP)	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True
17332	1100	8	223	Beginner	Pending	Node.js	gskirving5w@about.com	user	1668639496	qM5+\G`XX	True	Gabrielle Skirving	357.0	CodeCrafters	Designing a decentralized autonomous organization (DAO) for decentralized governance	Rejected	http://www.example.com/project161	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True	909.0	8.0	2023-12-17	2025-12-17	Pending	53e23f16-c5a2-4a66-b475-9ec0f67acd6e	Google Associate Cloud Engineer	gskirving5w@about.com	Gabrielle	Skirving	user	1.668639e+09	qM5+\G`XX	True

Overview

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Length

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(unknown)

Most occurring scripts

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(unknown)

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Most occurring characters

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(unknown)

Most occurring scripts

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Most occurring blocks

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Most occurring characters

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(unknown)

Most occurring scripts

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(unknown)